Data Treasury Analyst

hace 4 días


Madrid Centro, Madrid, España Ebury A tiempo completo
About the Role

Ebury, a leading FinTech firm, is seeking a highly skilled Data Treasury Analyst to join its team. As a key member of the treasury department, you will play a crucial role in managing financial risk and ensuring the company's liquidity.

Key Responsibilities
  • Conduct Quantitative Research: Develop and implement financial risk models to measure liquidity constraints and counterparty risk in FX derivatives and structured products.
  • Develop and Back-test Models: Assist in the development and back-testing of Monte Carlo stochastic models for FX portfolio liquidity stress tests in Python.
  • Portfolio Risk Management: Develop portfolio market risk and credit risk management models to assess portfolio risk tolerance and drive business decisions.
  • Financing and Hedging Strategies: Evaluate and recommend effective financing and hedging strategies to limit portfolio exposure and liquidity risk.
  • Risk and Performance Metrics: Develop risk and performance metrics at both individual trade and portfolio levels.
  • Liquidity Reports: Produce comprehensive liquidity reports to facilitate executive-level decision making on company liquidity reserve, capital financing, and portfolio hedging strategies.
  • Python Models and Algorithms: Build Python models and algorithms to streamline analytic functions such as calculation of mark to market for FX derivatives, portfolio sensitivity analysis, liquidity reports automation, etc.
  • Risk-based Pricing Models: Build risk-based pricing models (e.g. liquidity risk, credit risk, swap risk, etc. - XVAs) to derive product minimum spreads.
  • Statistical Models: Build statistical models to maximise product spreads by analysing corporate customers' financials, geographic data, and historical hedging behaviour.
  • Trading Costs: Quantify trading costs with different banks such as bid-ask spreads, swap costs, and margin posting agreement.
  • Model Embedment: Embed model calculations in either Excel pricing tools or Google Data Studio dashboards for the front office.
  • Complex FX Derivative Products: Recommend strategies and pricing for structuring complex FX derivative products (e.g. Cross currency swap, options structures, and deal-contingent forwards).
  • Macro Risk Factors: Identify portfolio macro risk factors and promote beta-neutral trading strategies.
  • Dealer Profitability: Develop frameworks to evaluate the dealers' profitability and performances.
  • IFRS Valuations: Familiarity with International Financial Reporting Standards (IFRS - valuations of FX derivatives).
  • Liquidity Forecasts: Assist the FP&A team with liquidity forecasts and budget preparation.
Requirements
  • Economics or Quantitative Degree: Economics or quantitative degree ideally with knowledge of financial modelling, accounting, and econometrics.
  • Technical Skills: Advanced experience working with Microsoft Office Suite (Excel, PowerPoint) and Google Docs Editors Suite, Python, SQL.
  • BI Tools: Familiarity with BI tools such as Looker and Google Data Studio.
  • Communication Skills: Strong written and oral skills, ability to explain modelling results to non-technical audiences.

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